Associate Director, AI Foundations Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the design, architecture, and engineering delivery of the organization's agentic AI platform and associated solutions.

• Transform current products, workflows, and processes into scalable capabilities powered by agentic AI.

• Manage comprehensive AI engineering operations, which encompass development, deployment, monitoring, reliability, and continuous enhancement.

• Collaborate with product, data, architecture, security, business, and various cross-functional stakeholders.

• Establish technical roadmaps, platform standards, and solution priorities that align with business objectives.

• Implement engineering best practices to ensure AI system performance, scalability, security, governance, and maintainability.

• Assess, integrate, and optimize AI models, orchestration frameworks, and supporting platform components.

• Build, mentor, and lead high-performing engineering teams.

• Identify opportunities to enhance value delivery through reusable AI services, automation, and operational efficiencies.

⛳️ Requirements

• Bachelor's degree in computer science, engineering, or a related discipline, or equivalent practical experience.

• Over 5 years of professional software engineering experience.

• 1 to 2 years of experience in building applications on large language models.

• At least one agentic system deployed in a production environment beyond just a demo.

• Hands-on experience in developing AI agents on AWS, including Amazon Bedrock and Bedrock AgentCore or similar methodologies.

• Proficiency in at least one agent framework, such as Strands Agents, LangGraph, LlamaIndex, CrewAI, or a custom orchestration layer.

• Strong skills in Python programming.

• Experience with AWS services such as Lambda, Step Functions, ECS/EKS, API Gateway, DynamoDB, S3, and IAM.

• Familiarity with retrieval-augmented generation, chunking strategies, embeddings, and vector stores like OpenSearch or pgvector.

• Experience in designing tool usage and function calling for APIs, databases, and enterprise systems.

• Preferred familiarity with Model Context Protocol (MCP).

• Experience in agent evaluation, observability, tracing, and monitoring cost and latency.

• Capability to prototype complex business challenges and refine solutions with security, guardrails, error handling, and CI/CD using CDK or Terraform.

• Ability to communicate technical trade-offs clearly to product and business partners.

• Comfortable working within a small, agile team.

🏝️ Benefits

• Performance-based cash incentive.

• Potential eligibility for annual equity awards, depending on role level.

• Health benefits.

• Life benefits.

• Disability benefits.

• 401(k) with company contributions and matching.

• Vacation.

• Personal days.

• Holidays.

• Other leaves.

• Reasonable accommodations for disabilities.